AI Today Podcast

The idea of bringing organizations from automation to intelligence is about the journey, not the destination. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss and overview of the automation to intelligence journey including introducing benefits of automation, discussing why the automation journey matters, and how to go about moving up the ladder of automation to intelligence.Continue reading AI Today Podcast: Roadmap Series: Getting Started on the Automation to Intelligence Journey at Cognilytica.

Heavily regulated industries such as healthcare can pose unique challenges, but also provide unique opportunities with it comes to AI and ML. In this episode of the AI Today podcast, hosts Kathleen Walch and Ron Schmelzer interview Vignesh Shetty who is Senior Vice President & General Manager Edison AI and Platform at GE Healthcare Digital.Continue reading AI Today Podcast: AI and Healthcare – Interview with Vignesh Shetty SVP & GM Edison AI and Platform at GE Healthcare Digital at Cognilytica.

At a very fundamental level facial recognition is a way of recognizing a human face through technology. Seems straight forward enough, right? Not so fast. For many industries, facial recognition technology is still a gray area, clouded with mystery and mistrust. In this episode of the AI Today podcast, hosts Kathleen Walch and Ron Schmelzer provide an overview of how facial recognition works, discuss the concerns and issues around facial recognition technology, news about how the technology was misused or raised ethical concerns, and pose the question: Is facial recognition technology a technology that is too difficult to get right in practice?Continue reading AI Today Podcast: The Challenges and Issues with Facial Recognition at Cognilytica.

Machine learning algorithms need examples of data from which they can learn, especially supervised machine learning algorithms. However, one big challenge for those looking to put machine learning into practice is the lack of a sufficient quantity of good quality data examples from which to train systems. To address the needs for large quantities of high quality data, vendors have emerged to provide computer-generated data, known as synthetic data, that matches the range and quality of data needed to train systems.Continue reading AI Today Podcast: Overview of Synthetic Data at Cognilytica.

This podcast episode provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. Data is at the heart of AI. It should be no surprise then that proper data management is crucial for AI projects. This podcast is an excerpt from our Cognilytica Education course discussing data pipelines. In this clip we discuss the training pipeline the inference pipeline.Continue reading AI Today Podcast: AI Education Series: Data Pipelines at Cognilytica.

As the markets for Data, Automation, Analytics, and AI continue to evolve, so too does Cognilytica’s coverage of these areas. In today’s podcast we discuss how we are expanding our current Cognilytica Classification of the AI Vendor Ecosystem to include a data infrastructure layer. Within this layer falls data generation, big data storage and query, and data engineering and DataOps.Continue reading AI Today Podcast: The Expanding Data Infrastructure Layer at Cognilytica.

In order for many machine learning algorithms to be trained, especially supervised learning algorithms, they need to be fed relevant data along with the desired meaning of the data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer provide an overview of the data labeling market, what “ground truth” labeling is, the different data labeling and annotation needs, and data labeling and annotation use cases.Continue reading AI Today Podcast: An Overview of the Data Labeling Market at Cognilytica.

On today’s AI Today podcast hosts Kathleen Walch and Ron Schmelzer are going to do their annual AI Market Forecast & Trends. They will spend some time reflecting on what they are seeing in the market and where they forecast the AI markets will go in 2022. They will talk about the Data Labeling, Data Engineering & Preparation, ML Platforms, ML Ops, and RPA markets.Continue reading AI Today Podcast: The State of AI (and AI Today) heading into 2022 at Cognilytica.

With 2021 quickly fading into the rear view mirror it’s time to do our annual yearly AI recap. On today’s podcast hosts Kathleen Walch and Ron Schmelzer are going to take a look back at 2021 as it relates to AI and share some of the hottest news from the past year, including acquisitions and fund raises, and some of our favorite podcasts of 2021.Continue reading AI Today Podcast: Looking back at AI (and AI Today) in 2021 at Cognilytica.

AI is not new – in fact the term was coined in 1956. Why then, if it’s been around for decades, and we are now on our third major wave of AI interest and hype, do we keep making the same mistakes that have brought us to two previous AI Winters? Are we still overpromising what AI can deliver?Continue reading AI Today Podcast: AI Failure Series – Overpromising and Underdelivering at Cognilytica.